tihhh Object Detection Dataset and Pre-Trained Model by iit roorkee

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Explore Dataset

Here are a few use cases for this project:

Smart Parking Management: This use case involves the application of the "tihhh" model in automating parking lot systems. Using the model's ability to identify empty and occupied spaces (spaces with cars), a system could automatically determine available parking slots, providing real-time information to drivers and streamlining parking operations.
Traffic Flow Monitoring: Traffic management organizations can use this model to monitor and manage traffic flow. By detecting the presence or absence of cars in specific road sections or lanes, traffic controllers can make informed decisions about traffic light timings and manage congestion effectively.
Security Surveillance: For security purposes, the model can be used to monitor specific zones - for instance, detecting unauthorized parked cars in certain areas or identifying vehicles present in areas during non-operational hours.
Autonomous Vehicle Development: The model can be employed in autonomous vehicle applications to help self-driving cars differentiate between occupied (car present) and unoccupied (empty) situations, aiding in navigation and decision-making processes.
E-commerce and Retail Analytics: Companies like car dealerships or online e-commerce platforms can apply this model to monitor inventory, automatically updating the database when car units are added or removed from the lot or warehouse.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            tihhh_dataset,
                            title = { tihhh Dataset },
                            type = { Open Source Dataset },
                            author = { iit roorkee },
                            howpublished = { \url{ https://universe.roboflow.com/iit-roorkee-61wxz/tihhh } },
                            url = { https://universe.roboflow.com/iit-roorkee-61wxz/tihhh },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-05-21 },
                            }